The control plane for your AI stack

Intelligent LLM routing, cost and usage tracking, replays, and evals.

For enterprise-grade AI.

Ship AI fast. With visibility and control.

We've built observability for everything else. It's time for LLM calls.

The invoice nobody can explain

AI spend is the fastest-growing line item in your P&L. Nobody knows which team, feature, or experiment is driving it. Every call needs attribution.

One provider goes down, everything stops

Your entire product depends on a single API endpoint you don't control. When it goes down at 2am, your customers find out before you do.

Can't test a model switch on real traffic

A new model looks great in the playground. But you have no way to run it against yesterday's production requests and compare the results before you flip the switch.

No CI for AI

You test every code change before it ships. But your LLM outputs — the ones your customers actually see — go to production with no scoring, no regression checks, and no safety net.

See it in action

Usage dashboard showing cost tracking, token metrics, and daily breakdowns

Powering AI at

Everything you need to run LLMs in production

One gateway. Full visibility. Complete control.

Routing

Intelligent Routing

Route requests across OpenAI, Anthropic, and Gemini from a single endpoint. Automatic failover when a provider goes down. Policy enforcement without changing application code.

Observability

Cost & Usage Tracking

Every request logged with input tokens, output tokens, and cost. Attribute spend by API key, team, feature, or any custom metadata. Daily breakdowns and trend analysis.

Optimization

Replay

Take your real production traffic and replay it against a different model. Compare cost, latency, and output quality side by side. Use an LLM judge to score equivalence automatically.

Quality

Evals

Build evaluation sets from your logged requests. Define custom scoring criteria. Run evaluations against any model and get aggregate quality scores before you ship.

Up and running in minutes

01

Connect

Point your SDK or HTTP client at the Majordomo gateway. One line of config — no code changes, no vendor lock-in.

02

Observe

Every request is logged with tokens, cost, latency, and your custom metadata. See exactly where your AI budget is going.

03

Optimize

Replay traffic against cheaper models. Run evals to measure quality. Make model decisions backed by data, not guesswork.

Open Source

Built on open source. Always.

The Majordomo Gateway and client libraries are open source and free forever. Self-host the entire stack, or let us run it for you with Majordomo Cloud.

# Install the gateway

docker pull ghcr.io/superset-studio/majordomo-gateway

# Install the Python client

pip install majordomo-llm

Ready to take control of your AI stack?

Get early access to Majordomo Cloud. Start routing, tracking, and optimizing your LLM calls in minutes.